{"instruction": "You are an expert in event extraction. Please extract events from the input that conform to the schema definition. Return an empty list for events that do not exist, and return NAN for arguments that do not exist. If an argument has multiple values, please return a list. Respond in the format of a JSON string.", "schema": [{"event_type": "patch vulnerability", "trigger": true, "arguments": ["patch number", "issues addressed", "supported platform", "common vulnerabilities and exposures", "time", "vulnerable system", "releaser", "patch", "vulnerable system version"]}, {"event_type": "phishing", "trigger": true, "arguments": ["tool", "victim", "attacker", "time", "attack pattern", "place", "trusted entity", "purpose"]}, {"event_type": "ransom", "trigger": true, "arguments": ["tool", "attacker", "damage amount", "attack pattern", "place", "victim", "price", "payment method", "time"]}, {"event_type": "discover vulnerability", "trigger": true, "arguments": ["supported platform", "common vulnerabilities and exposures", "time", "discoverer", "capabilities", "vulnerable system version", "vulnerability", "vulnerable system"]}, {"event_type": "data breach", "trigger": true, "arguments": ["number of data", "damage amount", "attack pattern", "place", "victim", "number of victim", "tool", "time", "compromised data", "purpose"]}], "input": "Key findings include the discovery that South Koreans are disproportionately impacted by ransomware campaigns , with analysis revealing that $ 2.5 million of the $ 16 million in ransomware payments tracked by the researchers was paid in South Korea ."}
{"patch vulnerability": [], "phishing": [], "ransom": [{"trigger": "are disproportionately impacted", "arguments": {"tool": "NAN", "attacker": "NAN", "damage amount": "NAN", "attack pattern": "ransomware campaigns", "place": "NAN", "victim": "South Koreans", "price": "NAN", "payment method": "NAN", "time": "NAN"}}], "discover vulnerability": [], "data breach": []}